Answer:
D. Highest increase in the multiple R2.
Step-by-step explanation:
Included variables in a multiple regression model are those variables which have the most effect on the model ; variables which have no effect on the performance of the model ar discarded. Model performance are based on the variables affect the multiple R² value of the model. The R² value is the coefficient of determination which gives the proportion of change in predicted value based on the regression line. Higher R² value means the variable has greater effect in the model performance. Therefore, variables which have the highest increase on the multiple R² value , are included.
Yes, very fun, not
ok
one way is table or
solutions amount x and y
x+y=500
x=25%
y=50%
0.25x+0.5y=0.35(500)
we have
x+y=500
0.25x+0.5y=0.35(500)
0.25x+0.5y=175
solve
multiply second equation by 100
25x+50y=17500
divide everybody by 25
x+2y=700
now we have
x+y=500
x+2y=700
multiply first equation by -1 and add to second equaiton
-x-y=-500
<u>x+2y=700 +</u>
0x+1y=200
y=200
sub
x+y=500
x+200=500
x=300
300L of the 25% and 200L of the 50%
Answer:
E(1,1/2)
would be another point at left of c
Answer:
16÷1/4 would give you the number of 1/4 inch links
64 1/4 inch links if you need to find the answer too